Evaluating Attribute Association Bias in Latent Factor Recommendation Models Post date November 11, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
Can We Ever Fully Remove Bias from AI Recommendation Systems? Post date November 11, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
Why Gender Bias Persists in Machine Learning Models Post date November 11, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
That Time We Found Gender Bias Hidden in a Podcast Recommendation System Post date November 10, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
A Practical Framework for Auditing Bias in Recommendation Algorithms Post date November 10, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
Detecting Hidden Bias in AI Recommendation Systems Post date November 10, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
Quantifying Attribute Association Bias in Latent Factor Recommendation Models Post date November 10, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
Understanding Attribute Association Bias in Recommender Systems Post date November 10, 2025 Post author By Algorithmic Bias (dot tech) Post categories In ai-fairness, algorithmic-bias, algorithmic-fairness, attribute-association-bias, latent-factor-models, nlp-embeddings, recommender-systems, responsible-ai
Why My Spotify Thinks I Love K-Pop: A Lesson in K-Means Clustering Post date October 10, 2025 Post author By Mark Andrews Post categories In algorithms, data-science, machine-learning, python, recommender-systems
From One Banana to Billions: Testing PCIC’s Predictive Powers Post date August 11, 2025 Post author By AB Test Post categories In buy-it-again-recommendations, customer-behavior-modeling, feature-importance, next-basket-recommendation, pcic-model, recommender-systems, retail-ai, scalable-ai
Old Stats, New Tricks: How PCIC Builds on Decades of Recommendation Research Post date August 11, 2025 Post author By AB Test Post categories In buy-it-again-recommendations, customer-retention-ai, next-basket-recommendation, pcic-model, recommender-systems, repeat-purchase-prediction, retail-ai, time-series-modeling
Deep Mutual Learning Optimizes Multi-Task Recommender Systems with Cross Task Feature Mining Post date January 23, 2025 Post author By KMeans Post categories In attention-mechanisms, cross-task-feature-mining, deep-mutual-learning, knowledge-transfer, multi-task-learning, recommender-systems, task-embeddings, task-specific-knowledge
DML Boosts Multi-Task Recommender Performance with Enhanced Models and Real-World Gains Post date January 23, 2025 Post author By KMeans Post categories In auc-and-mse-metrics, cross-task-feature-mining, deep-mutual-learning, global-knowledge-distillation, multi-task-models, online-ab-testing, recommender-systems, task-consistency
DML Revolutionizes Multi-Task Learning with Proven Effectiveness and Real-World Deployment Post date January 23, 2025 Post author By KMeans Post categories In ablation-studies, deep-mutual-learning, multi-task-networks, offline-experiments, online-deployment, performance-gains, recommender-systems, task-towers
New Framework for Deep Mutual Learning (DML) to Improve Multi-task Recommender Systems Post date January 23, 2025 Post author By KMeans Post categories In cross-task-feature-mining, deep-mutual-learning, global-knowledge-distillation, knowledge-transfer, multi-task-learning, prediction-consistency, recommender-systems, task-conflicts
Different Approaches For Building Recommender Systems Using Python Post date March 9, 2023 Post author By Abhay Parashar Post categories In artificial-intelligence, machine-learning, nlp, python, recommender-systems
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